Liliana Rusu

Bio: Liliana Rusu is an academic researcher from University of Galați. The author has contributed to research in topics: Wind power & Wind wave model. The author has an hindex of 20, co-authored 79 publications receiving 1200 citations. Previous affiliations of Liliana Rusu include Instituto Superior Técnico & Technical University of Lisbon.

The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power

Abstract: The main objectives of the present work are to review the global wave energy resources according to the most recent datasets available, to identify the locations with the worldwide highest wave energy potential and to assess in those locations the performance of some state-of-the-art wave energy converters. For this purpose, 15 years of wave data provided by the European Centre for Medium-Range Weather Forecasts, covering the time interval 2000–2014, were considered, processed and analysed. After identifying the geographical regions with the highest wave power, 15 reference points, which were considered more relevant from the point of view of their wave energy potential, have been defined in each hemisphere (northern and southern, respectively). As a following step, corresponding to all of these reference points, the most relevant wave patterns have been identified, and this information was subsequently used to assess the expected power output of the wave energy converters considered. Some other relevant parameters, such as the capacity factor or the capture width, were evaluated as well. Following the results provided by this work, we can expect that most of the existent devices for harnessing wave energy would perform well near most of the coastal environments identified. Moreover, it also must be highlighted that in the future, wave energy farms can play a very active role from the point of view of coastal protection.

Wind and wave modelling in the Black Sea

Abstract: The performance of a wind-wave modelling system applied to the Black Sea basin is evaluated. The models considered are WRF (Weather Research and Forecasting) for wind and SWAN (Simulating Waves Nearshore) for waves. Model system simulations are carried out for a four-month period at the beginning of 2002. The accuracy of the predictions is further assessed by comparing the main modelled wind and wave parameters with both in-situ and remotely sensed measurements. In statistical terms, the performance of the modelling system is, in general, in line with the results obtained by other studies made in similar environments. Janssen’s formulation for the wind-wave generation, recently improved in SWAN, makes this approach the most effective in the Black Sea from the point of view of the numerical accuracy. Subsequently, the geographical variability of the model predictions is assessed together with an evaluation of the wave model results in the spectral space.

The Ensemble Kalman Filter: Theoretical formulation and practical implementation

Abstract: The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.

Wave and tidal current energy – A review of the current state of research beyond technology

Abstract: The oceans of the earth offer vast amounts of renewable energy. Technologies to harness the power of the seas are at an early stage of development. Even the most advances technologies, namely tidal current and ocean wave still face considerable barriers and many obstacles remain. Research, development and innovation can help overcome those barriers. This review provides an overview over the current state of research in the field of ocean energy. In particular, the authors focus on research beyond technology or technological improvements. This article also highlights areas where research gaps exists and where future research efforts should be directed to.